NDLI: Identification of differential signs of squamous cell lung carcinoma by means of the mass spectrometry profiling of blood plasma

Content Provider	Springer Nature Link
Author	Pyatnitskiy, M. A. Lisitsa, A. V. Moshkovskii, S. A. Artskaya, N. E. Akhmedov, B. B. Zaridze, D. G. Polotskii, B. E. Shevchenko, V. E.
Copyright Year	2011
Abstract	The study deals with the search for potential biomarkers of squamous cell lung cancer by virtue of low-molecular weight proteome profiling (1–20 kDa) of blood plasma. The profiling was performed by automated sample preparation followed by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. The training set comprised of 152 blood plasma samples from patients with squamous cell lung cancer and 185 ones of the control group. For processing the profiles, the method of support vector machines was used in the environment of the ClinProTools 2.0 software and freely accessible language R for statistical analysis. The original software created in R-environment was shown to provide with more plentiful opportunities in the search for potential biomarkers, i.e., mass spectral peaks, in comparison to the ClinProTools 2.0 software. As a result of study, a number of 15 mass spectral peaks was established, which discriminated blood plasma samples collected from patients with squamous cell lung cancer and those of the control group. The selection of mass spectral peaks may potentially serve for the early diagnostics of the disease.
Starting Page	1369
Ending Page	1375
Page Count	7
File Format	PDF
ISSN	10619348
Journal	Journal of Analytical Chemistry
Volume Number	66
Issue Number	14
e-ISSN	16083199
Language	English
Publisher	SP MAIK Nauka/Interperiodica
Publisher Date	2011-12-22
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	biomarkers squamous cell lung carcinoma matrix-assisted laser desorption/ionization time-of-flight mass spectrometry proteomics blood plasma Support Vector Machine Analytical Chemistry
Content Type	Text
Resource Type	Article
Subject	Analytical Chemistry

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